A Priori Assessment of Scalar Dissipation Rate Closure for Large Eddy Simulations of Turbulent Premixed Combustion Using a Detailed Chemistry Direct Numerical Simulation Database
A Priori Assessment of Scalar Dissipation Rate Closure for Large Eddy Simulations of Turbulent Premixed Combustion Using a Detailed Chemistry Direct Numerical Simulation Database
复制标题
使用详细的化学直接数值模拟数据库对湍流预混燃烧大涡模拟的标量耗散率收敛进行先验评估
DOI：
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
N. Chakraborty
中科院分区：
文献类型：
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作者：
Y. Gao;Y. Minamoto;M. Tanahashi;N. Chakraborty
摘要在大涡模拟的背景下，利用化学计量比H2-空气湍流V火焰的详细化学直接数值模拟（DNS）数据，对反应进程变量的Favre过滤标量耗散率（SDR）的基于代数和输运方程的封闭进行了评估。Favre过滤SDR及其输运方程的未封闭项已被提取通过显式过滤DNS数据的不同选择的反应进程变量。SDR的代数封闭，这是以前提出的使用简单的化学DNS数据，已被发现预测Favre过滤SDR令人满意的详细化学DNS数据的反应进程变量的不同选择。类似地，先前基于简单化学DNS数据提出的Favre过滤SDR输运方程的未闭合子网格对流、密度变化、标量湍流相互作用、反应速率梯度、分子耗散和扩散率梯度项的模型已经被发现对于一系列过滤器宽度满意地预测这些未闭合项的定性和定量行为，对于在该分析中考虑的详细化学DNS数据集的情况下的反应进程变量的两种不同选择。
ABSTRACT Algebraic and transport equation-based closures of Favre-filtered scalar dissipation rate (SDR) of the reaction progress variable, in the context of large eddy simulations, have been assessed using detailed chemistry direct numerical simulation (DNS) data of a stoichiometric H2-air turbulent V flame. The Favre-filtered SDR and the unclosed terms of its transport equation have been extracted by explicitly filtering the DNS data for different choices of the reaction progress variable. An algebraic closure of SDR, which was proposed previously using simple chemistry DNS data, has been found to predict the Favre-filtered SDR satisfactorily for detailed chemistry DNS data for different choices of the reaction progress variable. Similarly, the models of the unclosed sub-grid convection, density variation, scalar-turbulence interaction, reaction rate gradient, molecular dissipation, and diffusivity gradient terms of the Favre-filtered SDR transport equation, which have previously been proposed based on simple chemistry DNS data, have been found to satisfactorily predict both the qualitative and quantitative behaviors of these unclosed terms for a range of filter widths , for two different choices of reaction progress variable in the case of the detailed chemistry DNS dataset considered in this analysis.
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影响因子：
4.4
作者：
Chakraborty, Nilanjan;Cant, R. S.
通讯作者：
Cant, R. S.
影响因子：
4.4
作者：
D. Butz;Yuan Gao;A. Kempf;N. Chakraborty
通讯作者：
D. Butz;Yuan Gao;A. Kempf;N. Chakraborty
影响因子：
1.3
作者：
T. Ma;O. Stein;N. Chakraborty;Achim Kempf
通讯作者：
T. Ma;O. Stein;N. Chakraborty;Achim Kempf
DOI：
10.1007/s10494-010-9250-y
发表时间：
2010-02
期刊：
Flow, Turbulence and Combustion
影响因子：
--
作者：
N. Chakraborty;J. Rogerson;N. Swaminathan
通讯作者：
N. Chakraborty;J. Rogerson;N. Swaminathan
影响因子：
4.4
作者：
G. Kuenne;A. Ketelheun;J. Janicka
通讯作者：
G. Kuenne;A. Ketelheun;J. Janicka